Feb 12, 2020 · In this paper, we propose a learning-based method for detecting different degrees of misalignment. The method is based on point-to-plane ...
The method is based on point-to-plane corre- spondences and a pre-trained neural network originally used for detect- ing good correspondences. The network is ...
In this paper, we propose a learning-based method for detecting different degrees of misalignment. ... Learning-Based Misalignment Detection for 2-D/3-D Overlays.
In this paper, we propose a learning-based method for detecting different degrees of misalignment. The method is based on point-to-plane correspondences and a ...
Mitrović U, Š Spiclin Ž, Likar B, et al. Automatic detection of misalignment in rigid 3D-2D registration. In: CLIP; 2013. p. 117–124. https://doi.org ...
As an initial step in this direction, we propose to learn the update step of an iterative 2D/3D registration framework based on the Point-to-Plane ...
Jun 27, 2024 · Automatic anomaly detection based on visual cues holds practical significance in various domains, such as manufacturing and product quality ...
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In this study, we propose a self-supervised offline learning framework for model-based registration using image features commonly obtained from synthetic images ...
Conversation. BVM - German Conference on Medical Image Computing · @BVM_conf. Learning-Based Misalignment Detection for 2-D/3-D Overlays by.
This paper presents a novel approach for verifying 3D-2D misalignment based on learned a priori knowledge using arbitrary similarity measure (SM) and single ...